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Titlebook: Advances in Information Communication Technology and Computing; Proceedings of AICTC Vishal Goar,Manoj Kuri,Tomonobu Senjyu Conference proc

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发表于 2025-3-21 19:49:19 | 显示全部楼层 |阅读模式
期刊全称Advances in Information Communication Technology and Computing
期刊简称Proceedings of AICTC
影响因子2023Vishal Goar,Manoj Kuri,Tomonobu Senjyu
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发行地址Recent research on ICT for Sustainability.Results of the AICTC 2022 conference held in Bikaner, India.Serves as a reference for researchers and practitioners in academia and industry
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Advances in Information Communication Technology and Computing; Proceedings of AICTC Vishal Goar,Manoj Kuri,Tomonobu Senjyu Conference proc
影响因子The book is a collection of best selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2022), held in Government Engineering College Bikaner, Bikaner, India during 17 – 18 December 2022. The book covers ICT-based approaches in the areas of ICT for Energy Efficiency, Life Cycle Assessment of ICT, Green IT, Green Information Systems, Environmental Informatics, Energy Informatics, Sustainable HCI, or Computational Sustainability..
Pindex Conference proceedings 2023
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书目名称Advances in Information Communication Technology and Computing网络公开度学科排名




书目名称Advances in Information Communication Technology and Computing被引频次




书目名称Advances in Information Communication Technology and Computing被引频次学科排名




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书目名称Advances in Information Communication Technology and Computing年度引用学科排名




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https://doi.org/10.1007/978-3-662-39894-4ve in various daylight circumstances, including sunny, snowy, and rainy days, as well as inside tunnels. The proposed approach processes frame on average in 28 ms and have a detection accuracy of 96.78%, as shown by implementation results. This article aims to provide a simple technique for identify
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Aus Wirthschaft und Wissenschaft,s to use a machine-learning algorithm to detect and categorize e-mail messages of university faculty into spam and non-spam with the identification of the most occurring attributes that are contained in the messages. These attributes helped in the generation of a classification model based on the Ra
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